Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2030. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5120880525
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Di Zhu (openalex, provider refresh)
- Zhu, Di (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Consumer Welfare: 1 paper
- Governance And Regulation: 1 paper
- Research Productivity: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI in hospitality can hit profits at first before boosting them later: firms face short-run adjustment costs but gain from differentiation and productivity over time, producing a U-shaped adoption–profit curve. Widespread robot acceptance needs favorable initial conditions and incentives, and household tourism demand is nonlinearly affected by women’s economic empowerment, with gender-equal households allocating spending most efficiently.openalex | Zhu, Di provider id |
2030-01-01 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.